Forcing users to follow a standard template (Steps to Reproduce, Expected vs. Actual results) prevents the "vague report" bottleneck and speeds up developer resolution.
Services such as Claude Code offer multi-agent reviews where independent AI agents verify a fix before merging, providing high confidence for substantial changes.
Modern AI tools like Cursor and Claude Code have introduced specialized modes that go beyond simple code generation to handle the full lifecycle of a bug: code bug buy
The user desires functionality that was never in the original documentation or design. That's Not a Bug, It's a Feature Request - Coding Horror
Systems like GitHub Issues allow you to co-locate bug reports with your code, ensuring clear ownership and context visibility. Forcing users to follow a standard template (Steps
The software behaves differently than defined in the requirements.
Instead of just suggesting a fix, tools like Cursor 2.2 use an agent to instrument your code, capture runtime logs while you reproduce the issue, and then hypothesize and apply fixes across all affected files. Modern AI tools like Cursor and Claude Code
It is important to distinguish between a functional error and a missing requirement to manage development costs effectively: